Molecular Structure and Organic Synthesis (MSOS) is an upper-division undergraduate (capstone) laboratory course for undergraduates majoring in chemistry at Xavier University of Louisiana (XULA). The course is designed for juniors and seniors and is based on self-regulated research and learning under limited instructor supervision. It includes a 2-step synthetic project, chosen by each student in the class from a list based on the Organic Synthesis periodical or actual faculty research and then carried out independently. In order to prepare students for their syntheses, we recently included a new project in the course syllabus focused on a reaction optimization that introduces the undergraduate students to the concepts of raising reaction yield, improving product purity, lessening the environmental impact of the reaction, and/or increasing its cost efficiency. A team of 2-3 students performs a preliminary experiment. A rerun by each individual team member incorporating his or her modifications follows this. The goal of this preparatory exercise is to enhance the students' soft skills, including teamwork, critical analysis of data, and scientific report preparation as well as develop a deeper understanding of the reaction mechanism to make calculated adjustments to reaction conditions for optimization.

Chemistry is often associated with formal learning environments and has been described as overly serious by the general public, lacking some of the fun and energy of other sciences. However, it is difficult to provide hands-on chemistry activities outside the lab and other formal learning environments. Here, a simple electrochemistry based activity has been used for public engagement using household items and play dough to create a fun and playful experience for all ages. The benefits afforded by outdoor learning for developing curiosity and interest in science has also been explored through different event formats. The use of a "Smiley Stand" with "emojis" for gathering participant feedback was successfully deployed alongside interviews with the "Ambassadors" who facilitated the activity. Overall, it was found that the activity encouraged two-way conversations between the participants and the ambassadors, with few negative responses and many positive ones received. The activity also impacted the ambassadors' own view of science.

Faculty development programs play a crucial role in enhancing learning by equipping educators with the necessary skills, knowledge, and pedagogical strategies to teach more effectively. One such program is the Promoting Active Learning in Analytical Chemistry (PALAC) workshop, which aimed to educate faculty on methods to create and use active learning course materials to support students during the process of learning. This research aimed to assess the design of classroom instructional materials generated by faculty that attended the PALAC workshops. The theories of Vygotsky's zone of proximal development and scaffolding were used as lenses to characterize the materials because they describe the benefits of providing support through the process of developing knowledge. The active learning materials were analyzed by assigning the cognitive levels of processing, as described by Marzano's taxonomy, to all questions asked across 134 in-class activities. The use of the cognitive levels of processing allowed the researchers to gauge the presence of scaffolding by tracking how the cognitive levels of processing changed from question to question across each in-class activity. The results from this study indicate that the majority of materials provide opportunities for students to engage with higher-order questions, but there is less evidence for the effective and consistent structuring of the materials. These results have implications for future faculty development programs, suggesting the need to allot more time for faculty to practice developing effective classroom materials. In conjunction, this work demonstrates the effective use of Marzano's taxonomy in assessing the cognitive structure of in-class activities.

At the nanometer scale, electrolyte solutions behave differently compared to their bulk counterparts. This phenomenon forms the basis for the field of nanofluidics, which is dedicated to studying the transport of fluids within and around objects with dimensions of less than 100 nm. Despite the increasing importance of nanofluidics for a wide range of chemical and biochemical applications, the ability to study this field in undergraduate laboratories remains limited due to challenges associated with producing suitable nanoscale objects. This article outlines a straightforward procedure, using easily accessible materials and chemical reagents, to create nanofluidic membranes, called nanowood, containing channels with diameters less than 100 nm. We describe the fabrication process of nanofluidic channels in wood and demonstrate the presence of these nanochannels based on conductance measurements using electrochemical impedance spectroscopy.

In undergraduate science education, laboratory courses stand as essential cornerstones of experiential learning. Chemistry laboratory courses offer students unique hands-on experiences that bridge the gap between theoretical knowledge and practical application. The journey through the undergraduate chemistry curriculum is paved with a series of conceptual gateways known as threshold concepts that can dramatically shape a student's understanding and success. We identified the idea of intermolecular forces (IMFs) as a threshold concept to students' ability to link molecular structures, properties, and applications to real-world problems such as extraction and separation of compounds. The development of course-specific pedagogical tools can provide students with the scaffolding necessary for the transition from novice to expert-level disciplinary comprehension. This work presents the development process of a Threshold Concept Assessment Rubric (TCAR) based on Johnstone's triangle framework and discusses its application for evaluating students' progress in overcoming a threshold concept. The rubric is used in a 200-level multilayer laboratory course that is intentionally designed with intermolecular forces as the central theme. We analyze the role and structure of different questions to provide a holistic assessment of students' learning processes using sample assignments. Furthermore, we demonstrate how insights from statistical analyses can highlight areas in which students struggle to gain expert or exemplary-level understanding of IMFs. This rubric development approach can be applied to other threshold concepts.

Sustainability transitions need professionals with specific skills and attitudes that students often do not develop in their regular chemistry education. To foster sustainability change-maker competencies, we suggest augmenting higher education curricula, e.g., chemical degree programs, with transdisciplinary challenge-based learning combined with design thinking. The Da Vinci Project at Utrecht University (UU) in The Netherlands explores this approach, aiming to cultivate the undergraduates' sustainability change-maker competencies. After five years of experience, we reflected on the students' learning outcomes in this UU honors program. We conclude that transdisciplinary challenge-based education combined with design thinking provides unique opportunities for students to develop valuable skills and attitudes for navigating sustainability transitions, including the transition toward sustainable chemistry. These involve collaboration, communication, creative thinking, integrative problem-solving, stakeholder engagement, openness, empathy, the ability to deal with uncertainty and complexity, self-awareness, critical reflection, courage, and perseverance.

Climate change is of great concern to all age groups but in particular to children. "Simple" climate models have been in place for a long time and can be used effectively with post-16 students. For younger children, modifications are required, and we describe in this paper the development and use of two such models. The first (the Granny Model) is a pictorial version of the model that has been used extensively with primary and early secondary school aged children (14 and younger). The second is an online version of the simple climate model that can be used without recourse to the underpinning mathematics and science but allows children to experiment with changing variables and how these changes affect the average surface temperature of the Earth.

Organic Chemistry is widely recognized as a challenging subject, with the design of syntheses and retrosyntheses identified as particularly difficult tasks. Inspired by the success of artificial neural networks in machine learning, we propose a framework that leverages similar principles to enhance the teaching and learning of organic synthesis. In this paper, we introduce a novel teaching tool, the "Synthetic Map", that attempts to visually recreate an expert's mental map and conceptual understanding of organic synthesis built over years of experience. The educational benefits of the Synthetic Map were evaluated through its implementation in an Organic Chemistry course of a Pharmacy degree over two years. The new tool promoted students' learning by providing a mental organizer fostering a deeper understanding of the subject and empowering students to design and execute effective synthetic strategies.

The Montreal Protocol is an international treaty that controls substances that deplete the ozone layer. Through the control of halogenated gases, it has been one of the most successful climate legislations to date. This success is driven by the interplay between chemical regulation and smart chemical design, demonstrating the positive impact chemistry can have on the world. This Article describes a group project that includes four assignments, a group presentation, and a writing task where students take on the role of consultants to assess the environmental friendliness of two fluorinated gases. Through the assignments students determine the global warming potential of two chemicals and pair this assessment with an evaluation of their potential to produce persistent products, such as trifluoroacetic acid, via atmospheric oxidation. Students worked together to take these, sometimes conflicting, pieces of evidence to make a final recommendation to their client as to the most "environmentally friendly" option in a mock Board of Directors meeting and then individually through a written recommendation. The project effectively addressed the learning goals of a third-year environmental chemistry class and was well received by students as a means of contextualizing the course material and providing students with a clear peer network in the class. This project is an effective application of fundamental chemistry topics (e.g., spectroscopy and the relationship between structure and reactivity) within a real-world context that emphasizes the ability of chemistry to have a positive impact on important environmental issues such as climate.

Effective spatial visualization and reasoning skills are often credited for students' success in science and engineering courses. However, students enrolled in these science courses are not always exposed to or trained properly on the best ways to utilize models to aid in their learning. Improving spatial visualization techniques with 3D models, such as molecular and DNA modeling kits, is often suggested to facilitate students' ability to conceptualize compounds in two and three dimensions. Here, we investigate what techniques students use to conceptualize 2D representations of various biomolecules with the use of 3D models by interviewing undergraduate students from various natural science and engineering disciplines in task-based, think-aloud sessions. After scoring and analyzing the participant data we explored some of the techniques used among successful scoring participants, including the use of informal models to transition between 2D and 3D. Additional techniques used by students who were able to successfully conceptualize 3D images included starting with smaller, granular details to inductively make conclusions when thinking between two and three dimensions. We find that (1) students who anchor their thinking in 3D models show a deeper level of understanding in initially solving science problems successfully, and (2) proper 3D model use and spatial visualization techniques may improve students' abilities to accurately visualize 2D and 3D representations of molecules in science courses. Our results demonstrate that implementing spatial visualization training to teach students how to effectively use 3D models may improve students' problem-solving techniques in science curricula.

Student mindset beliefs about the malleability of intelligence have been linked to student outcomes. However, recent meta-analyses showed mixed findings on how student mindset impacts their outcomes depending on the environment and context, such as the mindset that the instructor projects in the classroom. The current work utilizes Social Cognitive Theory to elucidate the relationship among student perceptions of faculty mindset, affective factors (belonging, self-efficacy, and utility value), and behavioral factors (course grade) using a Diversity, Equity, and Inclusion (DEI) lens within the chemistry context at a demographically diverse institution. Structural Equation Modeling (SEM) path analysis revealed that student perceptions of the instructor mindset did not directly predict chemistry course grades. However, a significant indirect effect, mediated by students' sense of academic misfit, was detected. The more students perceived instructors to endorse a fixed mindset, the more academic misfits they reported in their courses, which led to lower chemistry grades. ACT math scores (indicators of prior preparation) unsurprisingly had significant direct and indirect impact on chemistry course grades. Additionally, multigroup moderation analysis revealed that regression pathways did not differ based on race, gender, or age group. While this work highlights the benefit of instructors promoting a healthy learning environment that projects a growth mindset to students, this must be coupled with institutional support to help build foundational knowledge to prepare students for the rigor of chemistry courses and increase the chance of success for all students.

Programming is widespread in multiple domains and is being integrated into various discipline-specific university courses where, like students in a typical introductory computing course, students from other disciplines face challenges with learning to program. We offer a case study in which we study undergraduate students majoring in either chemistry or biochemistry as they learn programming in a physical chemistry course sequence. Using surveys and think-aloud sessions with students, we conducted a thematic content analysis to explain the challenges they face in this endeavor. We found that students struggled to transfer their programming knowledge to new representations and problems, and they did not have strategies in place for solving problems with programming. These facts combine to lower students' confidence in their programming abilities, making it less likely that they will reach for computing to help solve domain-specific problems. We recommend that students in end-user programming contexts be explicitly taught the skills of abstraction, decomposition, and metacognitive awareness as they pertain to programming.

When bulk materials are reduced in size to the nanometer scale, in particular, their surface-to-volume ratio increases drastically. We introduce some simple experiments on how to visualize this concept to students in the framework of a laboratory class. In the same context, experiments to demonstrate the consequences of this on the properties of the materials are introduced. This will involve solubility and chemical surface reactivity of the materials and properties originated from the surface. In the framework of their chemical reactivity, potential benefits and threads of nanomaterials due to their high surface-to-volume ratio will be discussed, such as applications as catalysts and their impact on nanotoxicology.

We formulate an alternative to high-stakes examinations that is designed to help students grow, and we describe its implementation in a large-enrollment General Chemistry 1 class. In our alternative grading approach, students complete weekly assessments. Each assessment has four items that are aligned to explicit learning objectives and a level in Marzano's taxonomy, , , , and , which can be used by students and instructors to gauge the progression of student learning. Proficiency-based grading and multiple attempts reduce the stakes of the assessments. Unique assessments are generated through a computational infrastructure that draws question stems from an item bank and further randomizes quantities, elements, compounds, reactions, spectra, Lewis structures, orbitals, etc. in the questions. Nearly all assessment items require student-generated responses and cover a complete General Chemistry 1 curriculum. We interpret Marzano's taxonomy in the General Chemistry context and outline the structure of the learning objectives, cognitive levels, assessment schedule, and grading scheme. Item response theory (Rasch analysis) validates the theoretical framework and indicates that assessment items are high quality. Students demonstrate improvement through assessment retakes, and they report that the system motivates them to study and learn.

Placing chemistry in the context of complex societal issues is one way to help students see the application of fundamental ideas in the general chemistry curriculum. Here, we describe the impact of an in-class deliberation on environmental contaminants, which encourages students to consider different perspectives when addressing the issue of water and soil quality in communities. Student surveys were used to analyze the quality of the deliberation and several key factors regarding student attitudes before and after the activity. Students report a high-quality experience during the deliberation, wherein new ideas were introduced and they carefully considered different views on the issue at hand. Not only do students gain scientific knowledge about lead contamination, they also demonstrate statistically significant gains in their attitudes toward chemistry and their motivation to take action. As a complement to traditional teaching methods, this deliberation module can address key learning outcomes in systems thinking and the impact chemistry has on society.

This document presents a simple yet highly effective demonstration for creating UV radiation sensors using alginate molecules. This demonstration can easily be aligned with the Next Generation Science Standards (NGSS) for classroom use. Moreover, the demonstration requires only a few easily obtainable materials, and the process involved is straightforward. When exposed to UV light or sunlight, the spheres' color changes, offering a fascinating observation that is sure to capture the imagination of students of all ages. This encourages curiosity and inspires further exploration of the scientific world. It is easily understandable and suitable for people of all ages. This experiment represents a valuable addition to the scientific community's educational tools, and its potential to inspire a new generation of scientists is truly limitless.

This work presents an automatic extruder as a research experience for undergraduate students. The system offers a user-friendly approach to preparing vesicles, such as liposomes or polymersomes, with a defined size and polydispersity-properties crucial for research in biology and macromolecules. It comprises two syringe pumps connected by a membrane filter. The setup is controlled by software. Compared to manual extrusion, this automated system provides advantages, such as precisely controlled variables. The project describes a tool to enhance undergraduate learning in science and engineering laboratories. Building an automatic extruder serves as a simplified model of a complex industrial process. It offers a clear advantage: automating a well-understood manual extrusion process. To make this project accessible, it is broken down into three manageable tasks: software development, hardware assembly, and testing procedures. This breakdown describes the software created, the hardware components used, and the testing procedures conducted for this project. All project data, including software code, testing data, and procedures, are freely available online. This allows undergraduate students to not only begin their own projects but also contribute to this educational instrument's ongoing development.

Isotopic labeling is an important tool in medicinal research, metabolomics, and for understanding reaction mechanisms. In this context, transition metal-catalyzed C-H activation has emerged as a key technology for deuterium incorporation via hydrogen isotope exchange. A detailed and easy-to-implement experimental procedure for a nondirected arene deuteration has been developed that exclusively uses commercial equipment and chemicals. The protocol is ideally suited for students and other prospective applicants who are not experts in catalysis. The degree of deuterium incorporation was analyzed via different means like mass spectrometry and H and H nuclear magnetic resonance (NMR). A hands-on understanding of quantitative NMR, as well as the influence of H/D exchange on experimental spectra, was conveyed by comparative NMR spin simulations. Students were measurably familiarized with the concepts of C-H activation, isotope effects, and basics in experimental catalysis.

Solubility is an essential concept in chemistry that describes the ability of a substance to dissolve in a particular solvent. Despite its importance in many fields of science, understanding the basic principles of solubility is challenging for many undergraduate students. Notably, students often encounter difficulties in comprehending the role of counterions when dealing with charged molecules. Here, we bring the opportunity to assimilate the key concepts of solubility regarding the role of counterions by developing a straightforward, cheap, and visually appealing experiment that focuses on the strategic use of counterions to control solubility. A student questionnaire delivered encouraging results with most of students giving positive feedback in both interest and training their hands-on skills. Hence, our experiment offers a proficient understanding of the solubility concept, thus preparing undergraduate students for advanced courses in the various subject areas of chemistry.

The COVID-19 pandemic has passed. It gives us a real-world example of kinetic data analysis practice for our undergraduate physical chemistry laboratory class. It is a great example to connect this seemingly very different problem to the kinetic theories for chemical reactions that the students have learned in the lecture class. At the beginning of the spring 2023 semester, we obtained COVID-19 kinetic data from the "Our World in Data" database, which summarizes the World Health Organization (WHO) data reported from different countries. We analyzed the effective spreading kinetics based on the susceptible-infectious-recovered-vaccinated (SIR-V) model. We then compared the effective rate constants represented by the real-time reproduction numbers ( ) underlining the reported data for these countries and discussed the results and the limitations of the model with the students.

Single-molecule localization microscopy (SMLM) has revolutionized our ability to visualize cellular structures, offering unprecedented detail. However, the intricate biophysical principles that underlie SMLM can be daunting for newcomers, particularly undergraduate and graduate students. To address this challenge, we introduce the fundamental concepts of SMLM, providing a solid theoretical foundation. In addition, we have developed an intuitive graphical interface APP that simplifies these core concepts, making them more accessible for students. This APP clarifies how super-resolved images are fitted and highlights the crucial factors determining image quality. Our approach deepens students' understanding of SMLM by combining theoretical instruction with practical learning. This development equips them with the skills to carry out single-molecule super-resolved experiments and explore the microscopic world beyond the diffraction limit.